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Cancer as a tissue anomaly: classifying tumor transcriptomes based only on healthy data
View ORCID ProfileThomas P. Quinn, View ORCID ProfileThin Nguyen, View ORCID ProfileSamuel C. Lee, View ORCID ProfileSvetha Venkatesh
doi: https://doi.org/10.1101/426395
Thomas P. Quinn
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
2Centre for Molecular and Medical Research, Deakin University, Geelong, 3220, Australia
3Bioinformatics Core Research Group, Deakin University, Geelong, 3220, Australia
Thin Nguyen
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
Samuel C. Lee
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
Svetha Venkatesh
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
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Posted September 29, 2018.
Cancer as a tissue anomaly: classifying tumor transcriptomes based only on healthy data
Thomas P. Quinn, Thin Nguyen, Samuel C. Lee, Svetha Venkatesh
bioRxiv 426395; doi: https://doi.org/10.1101/426395
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